"File" > "Export Packet Dissections" > "As CSV..." or "As CSV manually

import pyshark

import csv

# Open the .pcap file

cap = pyshark.FileCapture('yourfile.pcap')

# Open a .csv file in write mode

with open('output.csv', 'w', newline='') as csvfile:

writer = csv.writer(csvfile)

# Write header row

writer.writerow(['No.', 'Time', 'Source', 'Destination', 'Protocol', 'Length'])

# Iterate over each packet

for packet in cap:

try:

# Extract relevant information from each packet

no = packet.number

time = packet.sniff_timestamp

source = packet.ip.src

destination = packet.ip.dst

protocol = packet.transport_layer

length = packet.length

# Write the information to the .csv file

writer.writerow([no, time, source, destination, protocol, length])

except AttributeError:

# Ignore packets that don't have required attributes (e.g., non-IP packets)

pass

(may this will help in python)

There are 2 options ,first one is using tshark to Convert .pcap to .csv and the second one is Using Python Libraries (Scapy/Pyshark).Once you have the .csv file then u can apply the ML classifiers....

Wireshark can output dissected packets as .csv files.

Léo Soheily Khah Thank you very much for the information.

From the wireshark I can get some common features like Time, Source, Destination, Protocol, and Length. Can you please help to get the all existing features in the .pcap files? How can I ensure the number of features are available in the .pcap files to .csv files?

Thanks again.